Cuffless BP measurement using a correlation study of pulse transient time and heart rate. - Niranjan Kumar; Amogh Agrawal; Sujay Deb (ICACCI, 2014)

Proposal for a Leaky Integrate Fire Spiking Neuron Using Voltage Driven Domain Wall Motion. - Akhilesh Jaiswal 001; Amogh Agrawal; Kaushik Roy 001 (CoRR, 2017)

SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive. - Amogh Agrawal; Aayush Ankit; Kaushik Roy 001 (CoRR, 2017)

X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories. - Amogh Agrawal; Akhilesh Jaiswal 001; Kaushik Roy 001 (CoRR, 2017)

RECache: ROM-Embedded 8-Transistor SRAM Caches for Efficient Neural Computing. - Amogh Agrawal; Kaushik Roy 001 (SiPS, 2018)

8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. - Akhilesh Jaiswal 001; Indranil Chakraborty; Amogh Agrawal; Kaushik Roy 001 (CoRR, 2018)

Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets. - Indranil Chakraborty; Amogh Agrawal; Kaushik Roy 001 (CoRR, 2018)

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Amogh Agrawal; Akhilesh Jaiswal 001; Bing Han 006; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2018)

X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories. - Amogh Agrawal; Akhilesh Jaiswal 001; Chankyu Lee; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM. - Akhilesh Jaiswal 001; Amogh Agrawal; Indranil Chakraborty; Mustafa Fayez Ali; Kaushik Roy 001 (ACM Great Lakes Symposium on VLSI, 2019)

On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. - Akhilesh Jaiswal 001; Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (IJCNN, 2019)

X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks. - Amogh Agrawal; Chankyu Lee; Kaushik Roy 001 (CoRR, 2019)

SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives. - Amogh Agrawal; Aayush Ankit; Kaushik Roy 001 (IEEE Trans. Computers, 2019)

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Amogh Agrawal; Akhilesh Jaiswal 001; Deboleena Roy; Bing Han 006; Gopalakrishnan Srinivasan; Aayush Ankit; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing. - Akhilesh Jaiswal 001; Indranil Chakraborty; Amogh Agrawal; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2019)

In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. - Kaushik Roy 001; Indranil Chakraborty; Mustafa Fayez Ali; Aayush Ankit; Amogh Agrawal (DAC, 2020)

RAMANN: in-SRAM differentiable memory computations for memory-augmented neural networks. - Mustafa Fayez Ali; Amogh Agrawal; Kaushik Roy 001 (ISLPED, 2020)

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. - Mustafa Fayez Ali; Akhilesh Jaiswal 001; Sangamesh Kodge; Amogh Agrawal; Indranil Chakraborty; Kaushik Roy 001 (CoRR, 2020)

CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays. - Amogh Agrawal; Adarsh Kosta; Sangamesh Kodge; Dong Eun Kim; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays". - Amogh Agrawal; Adarsh Kosta; Sangamesh Kodge; Dong Eun Kim; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. - Aayush Ankit; Indranil Chakraborty; Amogh Agrawal; Mustafa Fayez Ali; Kaushik Roy 001 (IEEE Micro, 2020)

Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. - Indranil Chakraborty; Mustafa Fayez Ali; Aayush Ankit; Shubham Jain; Sourjya Roy; Shrihari Sridharan; Amogh Agrawal; Anand Raghunathan; Kaushik Roy 001 (Proc. IEEE, 2020)

IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. - Mustafa Fayez Ali; Akhilesh Jaiswal 001; Sangamesh Kodge; Amogh Agrawal; Indranil Chakraborty; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Functional Read Enabling In-Memory Computations in 1Transistor - 1Resistor Memory Arrays. - Akhilesh Jaiswal 001; Robert Andrawis; Amogh Agrawal; Kaushik Roy 001 (IEEE Trans. Circuits Syst., 2020)

i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs. - Akhilesh Jaiswal 001; Amogh Agrawal; Mustafa Fayez Ali; Saima Sharmin; Kaushik Roy 001 (IEEE Trans. Circuits Syst., 2020)

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. - Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Utkarsh Saxena; Saima Sharmin; Minsuk Koo; Yong Shim; Gopalakrishnan Srinivasan; Chamika M. Liyanagedera; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. - Nitin Rathi; Amogh Agrawal; Chankyu Lee; Adarsh Kumar Kosta; Kaushik Roy 001 (DATE, 2021)

Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design. - Tanvi Sharma; Cheng Wang 036; Amogh Agrawal; Kaushik Roy 001 (ISLPED, 2021)

IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks. - Amogh Agrawal; Mustafa Fayez Ali; Minsuk Koo; Nitin Rathi; Akhilesh Jaiswal 001; Kaushik Roy 001 (CoRR, 2021)

Embracing Stochasticity to Enable Neuromorphic Computing at the Edge. - Amogh Agrawal; Deboleena Roy; Utkarsh Saxena; Kaushik Roy 001 (IEEE Des. Test, 2021)

Magnetoresistive Circuits and Systems: Embedded Non-Volatile Memory to Crossbar Arrays. - Amogh Agrawal; Cheng Wang 036; Tanvi Sharma; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. - Adarsh Kosta; Efstathia Soufleri; Indranil Chakraborty; Amogh Agrawal; Aayush Ankit; Kaushik Roy 001 (DATE, 2022)

SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception. - Deepika Sharma; Shubham Negi; Trishit Dutta; Amogh Agrawal; Kaushik Roy 001 (CoRR, 2024)